.big file extractor
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then you can use the following script to load the data and split out the dupes. Use the developer edition of SQL Server you've got installed on your laptop to import the data and sanitize it in the database before you do analysis. Who's that nutjob telling you to use Powershell?! Off topic! This is a site for DBAs, not developer nutjobs! Possibly over on StackOverflow if you're gonna keep flexing those Powershell skillz.
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You may want to do some more work to determine which of the duplicate records to keep and possibly append back into your "good" file, but the exact details of that are probably best left for another question. A file containing just the uniques records.$myOkays = $m圜sv | Where-Object uuid -notin $dupes $myDupes = $m圜sv | Where-Object uuid -in $dupes $dupes = ($m圜sv | Group-Object uuid | Where-Object Count -gt 1).Name then you can extract the duplicate values with the following script. Use Powershell to protect yourself from nasty conversions that Excel does under the hood.Īssuming my.csv is saved in your c:\temp folder and looks like this when you open it in Notepad. It doesn't have to open up in Excel, that's just what your default settings are configured to do at the moment.
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But exact details of errors you encounter there are probably best for another question.Ī CSV file is just a text file structured in a certain way. You may even want to export the data back out to csv on your filesystem to use in your data science tool. Of course you will want to do some further data sanitising. Select * into myOkays from m圜sv limit(0) Select 0::int AS "dupe_count", * into myDupes from m圜sv limit(0) script.sql and you're friggin done! Al-dente copy-pasta drop table if exists m圜sv, myOkays, myDupes įrom '/tmp/my.csv' delimiter ',' csv header then you can just pipe the following script.sql into psql -f. Then, assuming more /tmp/my.csv looks like this.
#.big file extractor install#
None of that faffing about with downloading things and figuring out an arcane configuration manager, just use your package manager ( brew in my case) and brew install postgresql PostgreSQL is the clearly superior platform for this task.